One agent reviews your code, secrets, dependencies, and cloud the way a senior security engineer would — tracing real data flows, chaining attack paths, and proving what’s exploitable. Everything else is deleted before it reaches your team.
Detection engines surface everything. The agent decides what’s real — and only verified, exploitable findings reach your team.
Reads the repo and builds a model of the application.
Finds every route, entry point, and trust boundary.
Follows untrusted input source → sink, across files.
Chains findings into multi-step attack paths.
Tries to kill every finding. Only survivors ship.
The agent models your architecture and trust boundaries, traces input source → sink across files, and proves logic, auth, and injection flaws — each with a PoC.
Every commit on every branch — not just HEAD. Each secret is live-verified against the provider and flagged LIVE if it still works.
npm, PyPI, Go, Cargo, and Maven — transitive deps included. Full advisory context, and the exact version that fixes it, re-checked 24/7.
Terraform, Kubernetes, Docker, and CloudFormation. Resource-graph reasoning chains multi-hop paths from a public endpoint to your data.
Install the GitHub App once — no YAML, no CI rewrites. Every PR gets a diff-scoped review before it merges. A clean PR gets silence, not a sticker.
The id parameter flows unmodified into a string-built query. No parameterization; reachable unauthenticated. PoC attached.
Rule-based scanners pattern-match line by line — great recall, zero judgment. Zolt runs those engines for coverage, then an agent reads your code like an engineer: it models the app, traces real data flows, and adversarially re-checks every candidate before you see it. Recall without the noise.
Each scan clones your repo into an ephemeral, isolated environment that exists only for the audit and is destroyed afterward. Access is through a GitHub App you control — you pick exactly which repos Zolt sees, and you can revoke it anytime.
No. Zolt posts one consolidated review per pull request, scoped to the diff, containing only verified findings. If your PR is clean, it stays out of the way.
Every candidate goes through a dedicated adversarial pass whose default assumption is “this is a false positive” — it actively tries to kill the finding by re-reading the code. Only survivors ship, each with a confidence score, evidence chain, and PoC.
Connect GitHub and get your first verified findings in minutes — evidence and proof of concept included.